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Instance Segmentation, Body Part Parsing, and Pose Estimation of Human Figures in Pictorial Maps
(2023)TensorFlow/keras models and preprocessed data to idenfity silhouettes of human figures on pictorial maps (Mask R-CNN) and to segment body parts and pose points of pictorial human figures (U-Net)Model -
Inferring Implicit 3D Representations from Human Figures on Pictorial Maps
(2023)Scikit-learn/TensorFlow/keras/pyTorch Models to estimate 3D poses (baseline), to infer 3D body parts (DISN), to predict UV coordinates (U-Net), to inpaint (coordinate-based) and enhance textures (autoencoder) of pictorial human figuresModel -
Detection of Pictorial Map Objects with Convolutional Neural Networks
(2023)keras/TensorFlow models and preprocessed data to classify maps and non-maps (Xception and InceptionResNetV2), to classify pictorial maps and non-pictorial maps (Xception and InceptionResNetV2) as well as to detect sailing ships on historic maps (Faster R-CNN and RetinaNet)Model